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An exploratory data quality analysis of time series physiologic signals using a large-scale intensive care unit database.
Afshar, Ali S; Li, Yijun; Chen, Zixu; Chen, Yuxuan; Lee, Jae Hun; Irani, Darius; Crank, Aidan; Singh, Digvijay; Kanter, Michael; Faraday, Nauder; Kharrazi, Hadi.
Afiliação
  • Afshar AS; Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland USA.
  • Li Y; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Chen Z; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland, USA.
  • Chen Y; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland, USA.
  • Lee JH; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland, USA.
  • Irani D; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland, USA.
  • Crank A; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland, USA.
  • Singh D; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland, USA.
  • Kanter M; Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA.
  • Faraday N; Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland USA.
  • Kharrazi H; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
JAMIA Open ; 4(3): ooab057, 2021 Jul.
Article em En | MEDLINE | ID: mdl-34350392
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article